Supervised Training

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• Hypothesis Test: Hypothesis testing is a statistical method that is used to determine whether there is enough evidence in a sample of data to infer that a certain condition is true for the entire population. The process involves formulating two hypotheses: ... Read More >>
• Model Testing: Model testing is the process of evaluating the performance of a machine learning model on a set of data. The purpose of model testing is to determine how well the model is able to generalize to new, unseen data. Model testing involves split ... Read More >>
• Hardware Design: Hardware design is the process of designing and developing physical components of a computer system, including the central processing unit (CPU), memory, input/output devices, and other hardware components. In the context of data science an ... Read More >>